Essays about: "Distributional Learning"

Showing result 1 - 5 of 13 essays containing the words Distributional Learning.

  1. 1. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Stella Jarlöv; Anton Svensson Dahl; [2023]
    Keywords : demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

    Abstract : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. READ MORE

  3. 2. ElektroCHAT: A Knowledge Base-Driven Dialogue System for Electrical Engineering Students : A Proposal for Interactive Tutoring

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Fredrik Gölman; [2023]
    Keywords : Knowledge base; Knowledge graph; Dialogue system; Chatbot; Electrical engineering; Education; Kunskapsbas; Kunskapsgraf; Dialogsystem; Chatbot; Elektroteknik; Utbildning;

    Abstract : Universities worldwide face challenges both with students dropping out of educational programmes and repetitive questions directed toward teaching staff which both consume resources and result in delays. Recent progress in natural language processing (NLP) introduces the possibility of more sophisticated dialogue systems that could help alleviate the situation. READ MORE

  4. 3. Risk-Sensitive Decision-Making for Autonomous-Driving

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Hardy Hasan; [2022]
    Keywords : ;

    Abstract : A natural aspect of the real world is that one can face uncertain situations on a daily basis. Depending on one's experience, we humans behave and respond differently to uncertainty. However, when designing intelligent agents, one needs to pay attention to the uncertainty inlearning tasks to design risk-sensitive algorithms. READ MORE

  5. 4. Learning from Synthetic Data : Towards Effective Domain Adaptation Techniques for Semantic Segmentation of Urban Scenes

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gerard Valls I Ferrer; [2021]
    Keywords : Semantic Segmentation; Synthetic Data; Autonomous Driving; Domain Shift; Domain Adaptation; Domain Generalisation; Semantisk Segmentering; Syntetiska Data; Autonom Körning; Domänskift; Domänanpassning; Domängeneralisering;

    Abstract : Semantic segmentation is the task of predicting predefined class labels for each pixel in a given image. It is essential in autonomous driving, but also challenging because training accurate models requires large and diverse datasets, which are difficult to collect due to the high cost of annotating images at pixel-level. READ MORE

  6. 5. Interactionwise Semantic Awareness in Visual Relationship Detection

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Pagliarini Giovanni; Imtiaz Azfar; [2020-11-06]
    Keywords : Deep Learning; Natural Language Processing; Computer Vision; Visual Relationship Detection; Object Detection;

    Abstract : Visual Relationship Detection (VRD) is a relatively young research area, where the goal is to develop prediction models for detecting the relationships between objects depicted in an image. A relationship is modeled as a subject-predicate-object triplet, where the predicate (e.g an action, a spatial relation, etc. READ MORE